Use of wavelet-based two-dimensional scaling moments and structural features in cascade neuro-fuzzy classifiers for handwritten digit recognition.
Bayram CetisliRifat EdizkanPublished in: Neural Comput. Appl. (2015)
Keyphrases
- handwritten digit recognition
- neuro fuzzy
- structural features
- neuro fuzzy systems
- hybrid learning
- fuzzy rules
- structural information
- neuro fuzzy network
- recurrent neural networks
- semantic features
- data sets
- secondary structure
- feature set
- support vector
- real time
- information extraction
- expert systems
- recursive least squares
- artificial intelligence